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Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing] Journal article
Yu, Zhaoyuan, Li, Dongshuang, Du, Pei, Luo, Wen, Kou, Kit Ian, Bhatti, Uzair Aslam, Benger, Werner, Lv, Guonian, Yuan, Linwang. Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing][J]. IEEE Signal Processing Magazine, 2024, 41(3), 33-48.
Authors:  Yu, Zhaoyuan;  Li, Dongshuang;  Du, Pei;  Luo, Wen;  Kou, Kit Ian; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:9.4/18.0 | Submit date：2024/09/03
Analytical Models  Computational Modeling  Data Visualization  Geoscience  Signal Processing  Predictive Models  Hypercomplex  Digital Twins  Oceanography  Artificial Intelligence  High Performance Computing  
Sparse scattered high performance computing data driven artificial neural networks for multi-dimensional optimization of buoyancy driven heat and mass transfer in porous structures Journal article
Su,Yan, Ng,Tiniao, Li,Zhigang, Davidson,Jane H.. Sparse scattered high performance computing data driven artificial neural networks for multi-dimensional optimization of buoyancy driven heat and mass transfer in porous structures[J]. Chemical Engineering Journal, 2020, 397, 125257.
Authors:  Su,Yan;  Ng,Tiniao;  Li,Zhigang;  Davidson,Jane H.
Favorite | TC[WOS]:11 TC[Scopus]:11  IF:13.3/13.2 | Submit date：2021/03/11
Artificial Neural Network  Controllable Structure Generation Scheme  High Performance Computing  Objective Function  Parallel Non-dimensional Lattice Boltzmann Method  
Sparse scattered high performance computing data driven artificial neural networks for multi-dimensional optimization of buoyancy driven heat and mass transfer in porous structures Journal article
Su, Y., Ng, T.I., Li, Z.G., Davidson, J.H.. Sparse scattered high performance computing data driven artificial neural networks for multi-dimensional optimization of buoyancy driven heat and mass transfer in porous structures[J]. Chemical Engineering Journal, 2020, 125257-125257.
Authors:  Su, Y.;  Ng, T.I.;  Li, Z.G.;  Davidson, J.H.
Favorite |   IF:13.3/13.2 | Submit date：2023/08/16
Artificial neural network  Controllable structure generation scheme  High performance computing  Objective function  Parallel non-dimensional lattice Boltzmann method